Gigabit January 2019
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ganisations are<br />
et crushed under<br />
that data whilst<br />
re going to see<br />
portunities to<br />
hts and make<br />
ns”<br />
knowledge workers around the world. But<br />
then you’ve got to ask yourself: ‘what needs<br />
to happen, what are the capabilities that<br />
companies like Tableau need to unlock to<br />
enable tens of thousands of users inside<br />
a large bank or retailer to use data and<br />
analytics?’” Tableau believes it has found<br />
the answer: natural language processing.<br />
Manifested in the firm’s latest roll-out called<br />
Data Ask, this capability uses this technology<br />
to allow everyday people to make<br />
simple requests from their data using<br />
everyday language.<br />
“We want to make data and analytics<br />
evermore intuitive, evermore natural, evermore<br />
familiar, to the way that the human brain<br />
already works and that’s why we’re using<br />
natural language because it feels natural,”<br />
explains Selipsky. “Now, instead of learning<br />
software and understanding what dimensions<br />
and measures are, you can simply type<br />
a question, such as: ‘What are the most<br />
expensive housing neighbourhoods in<br />
London?’ Then there’s complicated<br />
algorithms and sophisticated query parts<br />
that goes on in the background, to render<br />
a visualisation that is extremely relevant to<br />
that question that you asked.” This may seem<br />
like simple innovation but the nuts and bolts<br />
are highly intricate. To complete this question,<br />
the platform needs to understand what<br />
41<br />
www.gigabitmagazine.com
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